Background: Genomic medicine is emerging into clinical care. Communication of genetic laboratory results to patients and providers is hampered by the complex technical nature of the laboratory reports. This can lead to confusion and misinterpretation of the results resulting in inappropriate care.
View Article and Find Full Text PDFObjective: We describe how electronic health record (EHR) audit files can be used to understand how time is spent in primary care (PC).
Materials/methods: We used audit file data from the Geisinger Clinic to quantify elements of the clinical workflow and to determine how these times vary by patient and encounter factors. We randomly selected audit file records representing 36 437 PC encounters across 26 clinic locations.
Objective: Electronic health records (EHRs) are not optimized for chronic disease management. To improve the quality of care for patients with rheumatic disease, we developed electronic data capture, aggregation, display, and documentation software.
Methods: The software integrated and reassembled information from the patient (via a touchscreen questionnaire), nurse, physician, and EHR into a series of actionable views.
Objective: While questionnaires have been developed to capture patient-reported outcomes (PROs) in rheumatology practice, these instruments are not widely used. We developed a touchscreen interface designed to provide reliable and efficient data collection. Using the touchscreen to obtain PROs, we compared 2 different workflow models implemented separately in 2 rheumatology clinics.
View Article and Find Full Text PDFAims: We used data from the General Longitudinal Overactive Bladder Evaluation (GLOBE) to understand predictors of variation in urgency and urinary incontinence (UI) symptoms over time.
Methods: A random sample of Geisinger Clinic primary care patients (men and women) 40+ years of age were recruited for a survey of bladder control symptoms at baseline and 12 months later. Symptom questions used a 4-week recall period.